
Overview
This model classifies images of objects into trash or recyclable (cardboard, glass, paper, aluminum, or plastic) and returns a class probability for images of single objects. It was trained images taken on cell phone images of trash items submitted by Figure Eight contributors all over the world and can be used successfully in an office setting to help employees implement eco-friendly best practices!
Highlights
- Classify images of items you are going to throw away into the appropriate categories of trash or recyclables
Details
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Amazon SageMaker model
An Amazon SageMaker model package is a pre-trained machine learning model ready to use without additional training. Use the model package to create a model on Amazon SageMaker for real-time inference or batch processing. Amazon SageMaker is a fully managed platform for building, training, and deploying machine learning models at scale.
Version release notes
For CPU: We recommend using a ml.c5.xlarge (CPU) instance type. Our tests on these took 0.534 seconds prediction time for average payloads of 21 KB when invoked from a desktop.
Additional details
Inputs
- Summary
Usage Instructions: Input (application/json): Image of the trash (one object at a time)
Payload: {"instances": [{"image": {"b64": "BASE_64_ENCODED_IMAGE_CONTENTS"}}]}
Output (application/json): Classification as cardboard, glass, metal, paper, plastic, trash
Content: {"labels": ["cardboard", "glass", "metal", "paper", "plastic", "trash"], "predictions": [ { "label": "glass", "scores": [0.1, 0.8, 0.025, 0.025, 0.025, 0.025]}]}
- Input MIME type
- json
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If you need any support, have questions, or suggestions, please email ml-support@figure-eight.comÂ
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